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DTSTAMP:20171029T211548Z
UID:F4046FBE-E5B6-11E7-833E-0050568D7F66
DTSTART;TZID=Turkey:20171020T133000
DTEND;TZID=Turkey:20171020T153000
DESCRIPTION:Speaker: Dr. Alper Sinan Akyürek\, ASELSAN\n\nTopic: &quot;Optimal 
 Control in the Smart City&quot;\n\nLocation: Middle East Technical University\,
  Ankara\, Turkey\n\nAbstract: Once a dream\, currently a massive reality\;
  the Internet of Things is here\, and it is growing. In such a massive con
 nected  environment\, developing scalable\, dynamic and adaptive engineeri
 ng solutions is of utmost importance. With recent advancements in communic
 ation and computation\, the IoT space contains a multitude of heterogeneou
 s connected nodes with various sensing and computational capabilities. The
  current design paradigm must be adjusted to leverage the current distribu
 ted computing capabilities\, while adhering to the constraint of scalabili
 ty. This talk presents an optimal framework for a specific IoT space from 
 the energy perspective: The Smart City. The framework contains four compon
 ents. At the core lies a novel\, scalable and distributed middleware consi
 sting of small computational engines called the “context engines”. The
  context engines leverage a novel model generation algorithm capable of ge
 nerating analytic models with adjustable accuracy. A novel communication c
 ontrol algorithm provides an optimal flexible solution for interconnectivi
 ty. The whole system is then used by a novel optimal distributed nonlinear
  energy control algorithm. Although the solutions are designed for the sma
 rt city environment\, the core concepts are general enough to be applied t
 o the other IoT spaces.\n\nBio: Alper Sinan Akyurek is currently a Senior 
 Software and Design Engineer at Aselsan Inc. His current work involves the
  design of custom\, robust\, wireless solutions for military applications 
 at multiple layers and the implementation of these solutions on embedded p
 latforms. Dr. Akyurek finished his Ph.D. in Electrical and Computer Engine
 ering at the University of California\, San Diego\, and obtained his M.Sc.
  and B.Sc. degrees in Electrical and Electronics Engineering at Middle Eas
 t Technical University in 2017\, 2011 and 2008\, respectively. After his P
 h.D. he continued his work as a PostDoc at UCSD\, and before\, he was work
 ing at his current company. He currently has 20 publications and 3 patents
 .\n\nSpeaker(s): Alper Sinan Akyürek\, \n\nAnkara\, Ankara\, Türkiye
LOCATION:Ankara\, Ankara\, Türkiye
ORGANIZER:ozergul@metu.edu.tr
SEQUENCE:0
SUMMARY:[Legacy Report] IEEE AP/MTT/EMC/ED TURKEY CHAPTER SEMINAR SERIES --
  SEMINAR 13
URL;VALUE=URI:https://events.vtools.ieee.org/m/152899
X-ALT-DESC:Description: &lt;br /&gt;&lt;p&gt;Speaker: Dr. Alper Sinan Aky&amp;uuml\;rek\, A
 SELSAN&lt;/p&gt;\n&lt;p&gt;Topic: &quot;Optimal Control in the Smart City&quot;&lt;/p&gt;\n&lt;p&gt;Location
 :&amp;nbsp\;Middle East Technical University\, Ankara\, Turkey&lt;/p&gt;\n&lt;p&gt;&lt;em&gt;Abs
 tract:&amp;nbsp\;Once a dream\, currently a massive reality\; the Internet of 
 Things is here\, and it is growing. In such a massive connected&amp;nbsp\;&lt;spa
 n class=&quot;Apple-converted-space&quot;&gt;&amp;nbsp\;&lt;/span&gt;environment\, developing sca
 lable\, dynamic and adaptive engineering solutions is of utmost importance
 . With recent advancements in&lt;span class=&quot;Apple-converted-space&quot;&gt;&amp;nbsp\;&amp;n
 bsp\;&lt;/span&gt;communication and computation\, the IoT space contains a multi
 tude of&lt;span class=&quot;Apple-converted-space&quot;&gt;&amp;nbsp\;&amp;nbsp\;&lt;/span&gt;heterogene
 ous connected nodes with various sensing and computational&lt;span class=&quot;App
 le-converted-space&quot;&gt;&amp;nbsp\;&amp;nbsp\;&lt;/span&gt;capabilities. The current design 
 paradigm must be adjusted to leverage&lt;span class=&quot;Apple-converted-space&quot;&gt;&amp;
 nbsp\;&amp;nbsp\;&lt;/span&gt;the current distributed computing capabilities\, while
  adhering to the&lt;span class=&quot;Apple-converted-space&quot;&gt;&amp;nbsp\;&amp;nbsp\;&lt;/span&gt;c
 onstraint of scalability. This talk presents an optimal framework for&lt;span
  class=&quot;Apple-converted-space&quot;&gt;&amp;nbsp\;&amp;nbsp\;&lt;/span&gt;a specific IoT space f
 rom the energy perspective: The Smart City. The&lt;span class=&quot;Apple-converte
 d-space&quot;&gt;&amp;nbsp\;&amp;nbsp\;&lt;/span&gt;framework contains four components. At the c
 ore lies a novel\, scalable&lt;span class=&quot;Apple-converted-space&quot;&gt;&amp;nbsp\;&amp;nbs
 p\;&lt;/span&gt;and distributed middleware consisting of small computational eng
 ines&lt;span class=&quot;Apple-converted-space&quot;&gt;&amp;nbsp\;&amp;nbsp\;&lt;/span&gt;called the &amp;l
 dquo\;context engines&amp;rdquo\;. The context engines leverage a novel&amp;nbsp\;
 model generation algorithm capable of generating analytic models with&lt;span
  class=&quot;Apple-converted-space&quot;&gt;&amp;nbsp\;&amp;nbsp\;&lt;/span&gt;adjustable accuracy. A
  novel communication control algorithm provides&lt;span class=&quot;Apple-converte
 d-space&quot;&gt;&amp;nbsp\;&amp;nbsp\;&lt;/span&gt;an optimal flexible solution for interconnec
 tivity. The whole system&lt;span class=&quot;Apple-converted-space&quot;&gt;&amp;nbsp\;&amp;nbsp\;
 &lt;/span&gt;is then used by a novel optimal distributed nonlinear energy contro
 l&lt;span class=&quot;Apple-converted-space&quot;&gt;&amp;nbsp\;&amp;nbsp\;&lt;/span&gt;algorithm. Altho
 ugh the solutions are designed for the smart city&lt;span class=&quot;Apple-conver
 ted-space&quot;&gt;&amp;nbsp\;&amp;nbsp\;&lt;/span&gt;environment\, the core concepts&lt;span class
 =&quot;Apple-converted-space&quot;&gt;&amp;nbsp\;&amp;nbsp\;&lt;/span&gt;are general enough to be app
 lied to&lt;span class=&quot;Apple-converted-space&quot;&gt;&amp;nbsp\;&amp;nbsp\;&lt;/span&gt;the other 
 IoT spaces.&lt;/em&gt;&lt;/p&gt;\n&lt;p&gt;&lt;em&gt;Bio:&amp;nbsp\;Alper Sinan Akyurek is currently a
  Senior Software and Design&lt;span class=&quot;Apple-converted-space&quot;&gt;&amp;nbsp\;&amp;nbs
 p\;&lt;/span&gt;Engineer at Aselsan Inc. His current work involves the design of
 &lt;span class=&quot;Apple-converted-space&quot;&gt;&amp;nbsp\;&amp;nbsp\;&lt;/span&gt;custom\, robust\,
  wireless solutions for military applications at multiple layers and the i
 mplementation of these solutions on embedded platforms. Dr. Akyurek finish
 ed his Ph.D. in Electrical and Computer Engineering at the University of C
 alifornia\, San Diego\, and obtained&lt;span class=&quot;Apple-converted-space&quot;&gt;&amp;n
 bsp\;&amp;nbsp\;&lt;/span&gt;his M.Sc. and B.Sc. degrees in Electrical and Electroni
 cs Engineering&lt;span class=&quot;Apple-converted-space&quot;&gt;&amp;nbsp\;&amp;nbsp\;&lt;/span&gt;at 
 Middle East Technical University in 2017\, 2011 and 2008\,&lt;span class=&quot;App
 le-converted-space&quot;&gt;&amp;nbsp\;&amp;nbsp\;&lt;/span&gt;respectively. After his Ph.D. he 
 continued his work as a PostDoc at&lt;span class=&quot;Apple-converted-space&quot;&gt;&amp;nbs
 p\;&amp;nbsp\;&lt;/span&gt;UCSD\, and before\, he was working at his current company
 . He currently&lt;span class=&quot;Apple-converted-space&quot;&gt;&amp;nbsp\;&amp;nbsp\;&lt;/span&gt;has
  20 publications and 3 patents.&lt;/em&gt;&lt;/p&gt;
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